Senior Data Science Manager — Real-Time ML & Impact

DataJobs; McLean (VA); On-site; USD 230,000 - 262,000; Full time

Benefits offered by this job

Performance-based incentive

Job summary

Capital One in McLean, VA is seeking a Sr Mgr, Data Science to lead machine learning initiatives within the US Card data science organization. The role commands a salary of $229,900 to $262,400 and offers performance-based incentives.

The team collaborates with data scientists, software engineers, and product managers using Python, Conda, AWS, H2O, Spark, and Scala to extract insights from large data, building models throughout the full lifecycle and aligning outcomes with business goals.

Qualifications

• Bachelor’s degree in a quantitative field plus 7 years of data analytics experience or Master’s degree in a quantitative field.
• At least 2 years of experience using open source programming languages for large-scale data analysis.
• At least 2 years of experience with machine learning and relational databases.

Responsibilities

• Collaborate with data scientists, software engineers, and product managers to deliver solutions.
• Apply Python, Conda, AWS, H2O, Spark, and related tools to analyze large numeric and textual data.
• Build ML models across design, training, evaluation, validation, and implementation.
• Translate technical work into tangible business goals for stakeholders.

Skills

Python

Conda

AWS

H2O

Spark

Scala

R

Open-source languages

Education

Bachelor’s degree in quantitative field

Master’s degree in quantitative field

PhD in STEM field

Job description

Capital One in McLean, VA is seeking a Sr Mgr, Data Science to lead machine learning initiatives within the US Card data science organization. The role commands a salary of $229,900 to $262,400 and offers performance-based incentives.

The team collaborates with data scientists, software engineers, and product managers using Python, Conda, AWS, H2O, Spark, and Scala to extract insights from large data, building models throughout the full lifecycle and aligning outcomes with business goals.